You’re about to send some crypto, feeling good, thinking you got it all figured out. But bam!

Some scammer’s already played you like a fiddle with a dirty trick called address poisoning.

It’s the kind of con that sneaks in under your nose, preying on the simple idea that what you see is what you get.

97% success rate against scams

Well, now, two sharp players, Trugard and Webacy are stepping up with a new AI-powered weapon to fight back.

And they’re bragging a 97% success rate. That’s some serious firepower here. Address poisoning is a sneaky scam where bad actors send tiny amounts of crypto from wallet addresses that look almost identical to the real deal.

Same first few characters, same last few, just enough to fool you into copying the wrong address. Next thing you know, your hard-earned crypto is gone, gone, gone.

This ain’t some rare problem, either. A study from January 2025 found over 270 million poisoning attempts on BNB Chain and Ethereum between mid-2022 and mid-2024.

Out of those, 6,000 got through, stealing over $83 million. That’s a lot of pain for a lot of people.

Attack

Trugard’s CTO, Jeremiah O’Connor revealed their team’s got roots in the old-school Web2 cybersecurity game, and they’re bringing that muscle to Web3.

Unlike most Web3 security tools that rely on stiff, static rules, this new AI learns and adapts. It’s like having a wise consigliere who notices patterns no human eye can catch.

How do they do it? They cooked up a machine learning model trained on real transaction data, mixed with onchain analytics and behavioral clues.

They even generated synthetic data, fake attack scenarios to train the AI, so it’s sharp as a tack when real crooks come knocking. The model keeps learning, evolving, staying one step ahead of the scammers.

New dawn

Webacy’s co-founder Maika Isogawa put it bluntly, and told that this kind of scam is relatively unknown, but widespread.

But with AI watching your back, maybe those days are numbered.

“Address poisoning is one of the most underreported yet costly scams in crypto.”

Disclosure:This article does not contain investment advice or recommendations. Every investment and trading move involves risk, and readers should conduct their own research when making a decision.

Kriptoworld.com accepts no liability for any errors in the articles or for any financial loss resulting from incorrect information.